Itumọ nkan naa ti pese ni pataki fun awọn ọmọ ile-iwe ti iṣẹ-ẹkọ naa .
jẹ ibi ipamọ data columnar orisun ṣiṣi. O jẹ agbegbe nla nibiti awọn ọgọọgọrun awọn atunnkanka le yara beere awọn alaye alaye, paapaa bi awọn mewa ti awọn ọkẹ àìmọye awọn igbasilẹ tuntun ti wa ni titẹ fun ọjọ kan. Awọn idiyele amayederun lati ṣe atilẹyin iru eto le jẹ giga bi $100 fun ọdun kan, ati agbara idaji ti o da lori lilo. Ni aaye kan, fifi sori ClickHouse lati Yandex Metrics ni awọn igbasilẹ 10 aimọye ninu. Ni afikun si Yandex, ClickHouse tun ti rii aṣeyọri pẹlu Bloomberg ati Cloudflare.
Odun meji seyin ni mo ti lo awọn apoti isura data nipa lilo ẹrọ kan, o si di free database software Mo ti sọ lailai ri. Lati igbanna, awọn olupilẹṣẹ ko dẹkun fifi awọn ẹya kun, pẹlu atilẹyin fun Kafka, HDFS ati funmorawon ZStandard. Odun to koja ti won fi kun support fun cascading funmorawon ọna, ati ifaminsi di ṣee ṣe. Nigbati o ba n ṣatunṣe data jara akoko, awọn iye iwọn le jẹ fisinuirindigbindigbin daradara ni lilo fifi koodu delta, ṣugbọn fun awọn iṣiro yoo dara lati lo fifi koodu delta-nipasẹ-delta. Funmorawon ti o dara ti di bọtini si iṣẹ ClickHouse.
ClickHouse ni awọn laini 170 ti koodu C ++, laisi awọn ile-ikawe ẹni-kẹta, ati pe o jẹ ọkan ninu awọn ipilẹ koodu data pinpin ti o kere julọ. Ni ifiwera, SQLite ko ṣe atilẹyin pinpin ati pe o ni awọn laini 235 ẹgbẹrun ti koodu C. Gẹgẹbi kikọ yii, awọn onimọ-ẹrọ 207 ti ṣe alabapin si ClickHouse, ati kikankikan ti awọn adehun ti n pọ si laipẹ.
Ni Oṣu Kẹta ọdun 2017, ClickHouse bẹrẹ lati ṣe bi ọna ti o rọrun lati tọju abala idagbasoke. Wọn tun fọ faili iwe monolithic sinu ilana ilana faili ti o da lori Markdown. Awọn ọran ati awọn ẹya ni a tọpinpin nipasẹ GitHub, ati ni gbogbogbo sọfitiwia naa ti di irọrun diẹ sii ni awọn ọdun diẹ sẹhin.
Ninu nkan yii, Emi yoo wo iṣẹ ṣiṣe ti iṣupọ ClickHouse kan lori AWS EC2 nipa lilo awọn ilana 36-core ati ibi ipamọ NVMe.
Imudojuiwọn: Ni ọsẹ kan lẹhin titẹjade ifiweranṣẹ yii ni akọkọ, Mo tun ṣe idanwo naa pẹlu iṣeto ilọsiwaju ati ṣaṣeyọri awọn abajade to dara julọ. Ifiweranṣẹ yii ti ni imudojuiwọn lati ṣe afihan awọn ayipada wọnyi.
Ifilọlẹ AWS EC2 Cluster kan
Emi yoo lo awọn igba c5d.9xlarge EC2 mẹta fun ifiweranṣẹ yii. Ọkọọkan wọn ni awọn CPUs foju 36, 72 GB ti Ramu, 900 GB ti ibi ipamọ NVMe SSD ati atilẹyin nẹtiwọọki 10 Gigabit. Wọn jẹ $1,962 fun wakati kọọkan ni agbegbe eu-west-1 nigbati wọn nṣiṣẹ lori ibeere. Emi yoo lo Ubuntu Server 16.04 LTS bi ẹrọ ṣiṣe.
A ṣe atunto ogiriina naa ki ẹrọ kọọkan le ba ara wọn sọrọ laisi awọn ihamọ, ati pe adiresi IPv4 mi nikan ni o jẹ funfun nipasẹ SSH ninu iṣupọ.
Wakọ NVMe ni ipo imurasilẹ ṣiṣe
Fun ClickHouse lati ṣiṣẹ, Emi yoo ṣẹda eto faili ni ọna kika EXT4 lori kọnputa NVMe lori olupin kọọkan.
$ sudo mkfs -t ext4 /dev/nvme1n1
$ sudo mkdir /ch
$ sudo mount /dev/nvme1n1 /chNi kete ti ohun gbogbo ba tunto, o le rii aaye oke ati aaye 783 GB ti o wa lori eto kọọkan.
$ lsblkNAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT
loop0 7:0 0 87.9M 1 loop /snap/core/5742
loop1 7:1 0 16.5M 1 loop /snap/amazon-ssm-agent/784
nvme0n1 259:1 0 8G 0 disk
└─nvme0n1p1 259:2 0 8G 0 part /
nvme1n1 259:0 0 838.2G 0 disk /ch$ df -hFilesystem Size Used Avail Use% Mounted on
udev 35G 0 35G 0% /dev
tmpfs 6.9G 8.8M 6.9G 1% /run
/dev/nvme0n1p1 7.7G 967M 6.8G 13% /
tmpfs 35G 0 35G 0% /dev/shm
tmpfs 5.0M 0 5.0M 0% /run/lock
tmpfs 35G 0 35G 0% /sys/fs/cgroup
/dev/loop0 88M 88M 0 100% /snap/core/5742
/dev/loop1 17M 17M 0 100% /snap/amazon-ssm-agent/784
tmpfs 6.9G 0 6.9G 0% /run/user/1000
/dev/nvme1n1 825G 73M 783G 1% /chIpilẹ data ti Emi yoo lo ninu idanwo yii jẹ idalẹnu data ti Mo ṣe ipilẹṣẹ lati awọn gigun takisi 1.1 bilionu ti o ya ni Ilu New York ni ọdun mẹfa. Lori bulọọgi alaye bi mo ti gba yi data ṣeto. Wọn ti wa ni ipamọ ni AWS S3, nitorina Emi yoo tunto AWS CLI pẹlu wiwọle mi ati awọn bọtini ikoko.
$ sudo apt update
$ sudo apt install awscli
$ aws configureEmi yoo ṣeto opin ibeere alabara nigbakanna si 100 ki awọn faili ṣe igbasilẹ yiyara ju awọn eto aiyipada lọ.
$ aws configure set
default.s3.max_concurrent_requests
100Emi yoo ṣe igbasilẹ dataset awọn gigun takisi lati AWS S3 ati tọju rẹ sori kọnputa NVMe lori olupin akọkọ. Eto data yii jẹ ~ 104GB ni ọna kika CSV fisinuirindigbindigbin GZIP.
$ sudo mkdir -p /ch/csv
$ sudo chown -R ubuntu /ch/csv
$ aws s3 sync s3://<bucket>/csv /ch/csvClickHouse fifi sori
Emi yoo fi OpenJDK pinpin fun Java 8 sori ẹrọ bi o ṣe nilo lati ṣiṣẹ Apache ZooKeeper, eyiti o nilo fun fifi sori ẹrọ pinpin ClickHouse lori gbogbo awọn ẹrọ mẹta.
$ sudo apt update
$ sudo apt install
openjdk-8-jre
openjdk-8-jdk-headless
Lẹhinna Mo ṣeto iyipada ayika JAVA_HOME.
$ sudo vi /etc/profile
export JAVA_HOME=/usr
$ source /etc/profileEmi yoo lo eto iṣakoso package Ubuntu lati fi ClickHouse 18.16.1 sori ẹrọ, awọn iwo ati ZooKeeper lori gbogbo awọn ẹrọ mẹta.
$ sudo apt-key adv
--keyserver hkp://keyserver.ubuntu.com:80
--recv E0C56BD4
$ echo "deb http://repo.yandex.ru/clickhouse/deb/stable/ main/" |
sudo tee /etc/apt/sources.list.d/clickhouse.list
$ sudo apt-get update$ sudo apt install
clickhouse-client
clickhouse-server
glances
zookeeperdEmi yoo ṣẹda liana kan fun ClickHouse ati tun ṣe diẹ ninu awọn atunto iṣeto ni lori gbogbo awọn olupin mẹta.
$ sudo mkdir /ch/clickhouse
$ sudo chown -R clickhouse /ch/clickhouse
$ sudo mkdir -p /etc/clickhouse-server/conf.d
$ sudo vi /etc/clickhouse-server/conf.d/taxis.confIwọnyi ni awọn iṣagbesori iṣeto ti Emi yoo lo.
<?xml version="1.0"?>
<yandex>
<listen_host>0.0.0.0</listen_host>
<path>/ch/clickhouse/</path>
<remote_servers>
<perftest_3shards>
<shard>
<replica>
<host>172.30.2.192</host>
<port>9000</port>
</replica>
</shard>
<shard>
<replica>
<host>172.30.2.162</host>
<port>9000</port>
</replica>
</shard>
<shard>
<replica>
<host>172.30.2.36</host>
<port>9000</port>
</replica>
</shard>
</perftest_3shards>
</remote_servers> <zookeeper-servers>
<node>
<host>172.30.2.192</host>
<port>2181</port>
</node>
<node>
<host>172.30.2.162</host>
<port>2181</port>
</node>
<node>
<host>172.30.2.36</host>
<port>2181</port>
</node>
</zookeeper-servers> <macros>
<shard>03</shard>
<replica>01</replica>
</macros>
</yandex>Emi yoo ṣiṣẹ ZooKeeper ati olupin ClickHouse lori gbogbo awọn ẹrọ mẹta.
$ sudo /etc/init.d/zookeeper start
$ sudo service clickhouse-server startIkojọpọ data si ClickHouse
Lori olupin akọkọ Emi yoo ṣẹda tabili irin-ajo kan (trips), eyi ti yoo fipamọ dataset ti awọn irin ajo takisi nipa lilo ẹrọ Wọle.
$ clickhouse-client --host=0.0.0.0
CREATE TABLE trips (
trip_id UInt32,
vendor_id String,
pickup_datetime DateTime,
dropoff_datetime Nullable(DateTime),
store_and_fwd_flag Nullable(FixedString(1)),
rate_code_id Nullable(UInt8),
pickup_longitude Nullable(Float64),
pickup_latitude Nullable(Float64),
dropoff_longitude Nullable(Float64),
dropoff_latitude Nullable(Float64),
passenger_count Nullable(UInt8),
trip_distance Nullable(Float64),
fare_amount Nullable(Float32),
extra Nullable(Float32),
mta_tax Nullable(Float32),
tip_amount Nullable(Float32),
tolls_amount Nullable(Float32),
ehail_fee Nullable(Float32),
improvement_surcharge Nullable(Float32),
total_amount Nullable(Float32),
payment_type Nullable(String),
trip_type Nullable(UInt8),
pickup Nullable(String),
dropoff Nullable(String),
cab_type Nullable(String),
precipitation Nullable(Int8),
snow_depth Nullable(Int8),
snowfall Nullable(Int8),
max_temperature Nullable(Int8),
min_temperature Nullable(Int8),
average_wind_speed Nullable(Int8),
pickup_nyct2010_gid Nullable(Int8),
pickup_ctlabel Nullable(String),
pickup_borocode Nullable(Int8),
pickup_boroname Nullable(String),
pickup_ct2010 Nullable(String),
pickup_boroct2010 Nullable(String),
pickup_cdeligibil Nullable(FixedString(1)),
pickup_ntacode Nullable(String),
pickup_ntaname Nullable(String),
pickup_puma Nullable(String),
dropoff_nyct2010_gid Nullable(UInt8),
dropoff_ctlabel Nullable(String),
dropoff_borocode Nullable(UInt8),
dropoff_boroname Nullable(String),
dropoff_ct2010 Nullable(String),
dropoff_boroct2010 Nullable(String),
dropoff_cdeligibil Nullable(String),
dropoff_ntacode Nullable(String),
dropoff_ntaname Nullable(String),
dropoff_puma Nullable(String)
) ENGINE = Log;
Mo yọ jade ati gbe ọkọọkan awọn faili CSV sinu tabili irin-ajo kan (trips). Awọn atẹle ti pari ni iṣẹju 55 ati iṣẹju-aaya 10. Lẹhin iṣiṣẹ yii, iwọn ti itọsọna data jẹ 134 GB.
$ time (for FILENAME in /ch/csv/trips_x*.csv.gz; do
echo $FILENAME
gunzip -c $FILENAME |
clickhouse-client
--host=0.0.0.0
--query="INSERT INTO trips FORMAT CSV"
done)Iyara agbewọle jẹ 155 MB ti akoonu CSV ti a ko fikun fun iṣẹju-aaya. Mo fura pe eyi jẹ nitori igo kan ni idinku GZIP. O le ti yara lati ṣii gbogbo awọn faili gzipped ni afiwe pẹlu lilo xargs ati lẹhinna gbe data ṣiṣi silẹ naa. Ni isalẹ ni apejuwe ohun ti o royin lakoko ilana agbewọle CSV.
$ sudo glancesip-172-30-2-200 (Ubuntu 16.04 64bit / Linux 4.4.0-1072-aws) Uptime: 0:11:42
CPU 8.2% nice: 0.0% LOAD 36-core MEM 9.8% active: 5.20G SWAP 0.0%
user: 6.0% irq: 0.0% 1 min: 2.24 total: 68.7G inactive: 61.0G total: 0
system: 0.9% iowait: 1.3% 5 min: 1.83 used: 6.71G buffers: 66.4M used: 0
idle: 91.8% steal: 0.0% 15 min: 1.01 free: 62.0G cached: 61.6G free: 0
NETWORK Rx/s Tx/s TASKS 370 (507 thr), 2 run, 368 slp, 0 oth sorted automatically by cpu_percent, flat view
ens5 136b 2Kb
lo 343Mb 343Mb CPU% MEM% VIRT RES PID USER NI S TIME+ IOR/s IOW/s Command
100.4 1.5 1.65G 1.06G 9909 ubuntu 0 S 1:01.33 0 0 clickhouse-client --host=0.0.0.0 --query=INSERT INTO trips FORMAT CSV
DISK I/O R/s W/s 85.1 0.0 4.65M 708K 9908 ubuntu 0 R 0:50.60 32M 0 gzip -d -c /ch/csv/trips_xac.csv.gz
loop0 0 0 54.9 5.1 8.14G 3.49G 8091 clickhous 0 S 1:44.23 0 45M /usr/bin/clickhouse-server --config=/etc/clickhouse-server/config.xml
loop1 0 0 4.5 0.0 0 0 319 root 0 S 0:07.50 1K 0 kworker/u72:2
nvme0n1 0 3K 2.3 0.0 91.1M 28.9M 9912 root 0 R 0:01.56 0 0 /usr/bin/python3 /usr/bin/glances
nvme0n1p1 0 3K 0.3 0.0 0 0 960 root -20 S 0:00.10 0 0 kworker/28:1H
nvme1n1 32.1M 495M 0.3 0.0 0 0 1058 root -20 S 0:00.90 0 0 kworker/23:1HEmi yoo gba aaye laaye lori awakọ NVMe nipa piparẹ awọn faili CSV atilẹba ṣaaju ki o to tẹsiwaju.
$ sudo rm -fr /ch/csvYipada si Fọọmu Ọwọ
Ẹrọ Wọle ClickHouse yoo tọju data ni ọna kika-ila. Lati beere data yiyara, Mo yipada si ọna kika columnar nipa lilo ẹrọ MergeTree.
$ clickhouse-client --host=0.0.0.0Awọn atẹle ti pari ni iṣẹju 34 ati iṣẹju-aaya 50. Lẹhin iṣiṣẹ yii, iwọn ti itọsọna data jẹ 237 GB.
CREATE TABLE trips_mergetree
ENGINE = MergeTree(pickup_date, pickup_datetime, 8192)
AS SELECT
trip_id,
CAST(vendor_id AS Enum8('1' = 1,
'2' = 2,
'CMT' = 3,
'VTS' = 4,
'DDS' = 5,
'B02512' = 10,
'B02598' = 11,
'B02617' = 12,
'B02682' = 13,
'B02764' = 14)) AS vendor_id,
toDate(pickup_datetime) AS pickup_date,
ifNull(pickup_datetime, toDateTime(0)) AS pickup_datetime,
toDate(dropoff_datetime) AS dropoff_date,
ifNull(dropoff_datetime, toDateTime(0)) AS dropoff_datetime,
assumeNotNull(store_and_fwd_flag) AS store_and_fwd_flag,
assumeNotNull(rate_code_id) AS rate_code_id,
assumeNotNull(pickup_longitude) AS pickup_longitude,
assumeNotNull(pickup_latitude) AS pickup_latitude,
assumeNotNull(dropoff_longitude) AS dropoff_longitude,
assumeNotNull(dropoff_latitude) AS dropoff_latitude,
assumeNotNull(passenger_count) AS passenger_count,
assumeNotNull(trip_distance) AS trip_distance,
assumeNotNull(fare_amount) AS fare_amount,
assumeNotNull(extra) AS extra,
assumeNotNull(mta_tax) AS mta_tax,
assumeNotNull(tip_amount) AS tip_amount,
assumeNotNull(tolls_amount) AS tolls_amount,
assumeNotNull(ehail_fee) AS ehail_fee,
assumeNotNull(improvement_surcharge) AS improvement_surcharge,
assumeNotNull(total_amount) AS total_amount,
assumeNotNull(payment_type) AS payment_type_,
assumeNotNull(trip_type) AS trip_type,
pickup AS pickup,
pickup AS dropoff,
CAST(assumeNotNull(cab_type)
AS Enum8('yellow' = 1, 'green' = 2))
AS cab_type,
precipitation AS precipitation,
snow_depth AS snow_depth,
snowfall AS snowfall,
max_temperature AS max_temperature,
min_temperature AS min_temperature,
average_wind_speed AS average_wind_speed,
pickup_nyct2010_gid AS pickup_nyct2010_gid,
pickup_ctlabel AS pickup_ctlabel,
pickup_borocode AS pickup_borocode,
pickup_boroname AS pickup_boroname,
pickup_ct2010 AS pickup_ct2010,
pickup_boroct2010 AS pickup_boroct2010,
pickup_cdeligibil AS pickup_cdeligibil,
pickup_ntacode AS pickup_ntacode,
pickup_ntaname AS pickup_ntaname,
pickup_puma AS pickup_puma,
dropoff_nyct2010_gid AS dropoff_nyct2010_gid,
dropoff_ctlabel AS dropoff_ctlabel,
dropoff_borocode AS dropoff_borocode,
dropoff_boroname AS dropoff_boroname,
dropoff_ct2010 AS dropoff_ct2010,
dropoff_boroct2010 AS dropoff_boroct2010,
dropoff_cdeligibil AS dropoff_cdeligibil,
dropoff_ntacode AS dropoff_ntacode,
dropoff_ntaname AS dropoff_ntaname,
dropoff_puma AS dropoff_puma
FROM trips;Eyi ni ohun ti iṣelọpọ iwo naa dabi lakoko iṣẹ:
ip-172-30-2-200 (Ubuntu 16.04 64bit / Linux 4.4.0-1072-aws) Uptime: 1:06:09
CPU 10.3% nice: 0.0% LOAD 36-core MEM 16.1% active: 13.3G SWAP 0.0%
user: 7.9% irq: 0.0% 1 min: 1.87 total: 68.7G inactive: 52.8G total: 0
system: 1.6% iowait: 0.8% 5 min: 1.76 used: 11.1G buffers: 71.8M used: 0
idle: 89.7% steal: 0.0% 15 min: 1.95 free: 57.6G cached: 57.2G free: 0
NETWORK Rx/s Tx/s TASKS 367 (523 thr), 1 run, 366 slp, 0 oth sorted automatically by cpu_percent, flat view
ens5 1Kb 8Kb
lo 2Kb 2Kb CPU% MEM% VIRT RES PID USER NI S TIME+ IOR/s IOW/s Command
241.9 12.8 20.7G 8.78G 8091 clickhous 0 S 30:36.73 34M 125M /usr/bin/clickhouse-server --config=/etc/clickhouse-server/config.xml
DISK I/O R/s W/s 2.6 0.0 90.4M 28.3M 9948 root 0 R 1:18.53 0 0 /usr/bin/python3 /usr/bin/glances
loop0 0 0 1.3 0.0 0 0 203 root 0 S 0:09.82 0 0 kswapd0
loop1 0 0 0.3 0.1 315M 61.3M 15701 ubuntu 0 S 0:00.40 0 0 clickhouse-client --host=0.0.0.0
nvme0n1 0 3K 0.3 0.0 0 0 7 root 0 S 0:00.83 0 0 rcu_sched
nvme0n1p1 0 3K 0.0 0.0 0 0 142 root 0 S 0:00.22 0 0 migration/27
nvme1n1 25.8M 330M 0.0 0.0 59.7M 1.79M 2764 ubuntu 0 S 0:00.00 0 0 (sd-pam)Ninu idanwo ti o kẹhin, ọpọlọpọ awọn ọwọn ti yipada ati tun ṣe iṣiro. Mo rii pe diẹ ninu awọn iṣẹ wọnyi ko ṣiṣẹ bi a ti ṣe yẹ lori dataset yii. Lati yanju iṣoro yii, Mo yọ awọn iṣẹ ti ko yẹ ati kojọpọ data laisi iyipada si awọn oriṣi granular diẹ sii.
Pinpin data kọja iṣupọ
Emi yoo pin kaakiri data kọja gbogbo awọn apa iṣupọ mẹta. Lati bẹrẹ, ni isalẹ Emi yoo ṣẹda tabili kan lori gbogbo awọn ẹrọ mẹta.
$ clickhouse-client --host=0.0.0.0CREATE TABLE trips_mergetree_third (
trip_id UInt32,
vendor_id String,
pickup_date Date,
pickup_datetime DateTime,
dropoff_date Date,
dropoff_datetime Nullable(DateTime),
store_and_fwd_flag Nullable(FixedString(1)),
rate_code_id Nullable(UInt8),
pickup_longitude Nullable(Float64),
pickup_latitude Nullable(Float64),
dropoff_longitude Nullable(Float64),
dropoff_latitude Nullable(Float64),
passenger_count Nullable(UInt8),
trip_distance Nullable(Float64),
fare_amount Nullable(Float32),
extra Nullable(Float32),
mta_tax Nullable(Float32),
tip_amount Nullable(Float32),
tolls_amount Nullable(Float32),
ehail_fee Nullable(Float32),
improvement_surcharge Nullable(Float32),
total_amount Nullable(Float32),
payment_type Nullable(String),
trip_type Nullable(UInt8),
pickup Nullable(String),
dropoff Nullable(String),
cab_type Nullable(String),
precipitation Nullable(Int8),
snow_depth Nullable(Int8),
snowfall Nullable(Int8),
max_temperature Nullable(Int8),
min_temperature Nullable(Int8),
average_wind_speed Nullable(Int8),
pickup_nyct2010_gid Nullable(Int8),
pickup_ctlabel Nullable(String),
pickup_borocode Nullable(Int8),
pickup_boroname Nullable(String),
pickup_ct2010 Nullable(String),
pickup_boroct2010 Nullable(String),
pickup_cdeligibil Nullable(FixedString(1)),
pickup_ntacode Nullable(String),
pickup_ntaname Nullable(String),
pickup_puma Nullable(String),
dropoff_nyct2010_gid Nullable(UInt8),
dropoff_ctlabel Nullable(String),
dropoff_borocode Nullable(UInt8),
dropoff_boroname Nullable(String),
dropoff_ct2010 Nullable(String),
dropoff_boroct2010 Nullable(String),
dropoff_cdeligibil Nullable(String),
dropoff_ntacode Nullable(String),
dropoff_ntaname Nullable(String),
dropoff_puma Nullable(String)
) ENGINE = MergeTree(pickup_date, pickup_datetime, 8192);Lẹhinna Emi yoo rii daju pe olupin akọkọ le rii gbogbo awọn apa mẹta ninu iṣupọ.
SELECT *
FROM system.clusters
WHERE cluster = 'perftest_3shards'
FORMAT Vertical;Row 1:
──────
cluster: perftest_3shards
shard_num: 1
shard_weight: 1
replica_num: 1
host_name: 172.30.2.192
host_address: 172.30.2.192
port: 9000
is_local: 1
user: default
default_database:Row 2:
──────
cluster: perftest_3shards
shard_num: 2
shard_weight: 1
replica_num: 1
host_name: 172.30.2.162
host_address: 172.30.2.162
port: 9000
is_local: 0
user: default
default_database:Row 3:
──────
cluster: perftest_3shards
shard_num: 3
shard_weight: 1
replica_num: 1
host_name: 172.30.2.36
host_address: 172.30.2.36
port: 9000
is_local: 0
user: default
default_database:
Lẹhinna Emi yoo ṣalaye tabili tuntun lori olupin akọkọ ti o da lori ero trips_mergetree_third o si nlo ẹrọ Pinpin.
CREATE TABLE trips_mergetree_x3
AS trips_mergetree_third
ENGINE = Distributed(perftest_3shards,
default,
trips_mergetree_third,
rand());Emi yoo daakọ data naa lati tabili orisun MergeTree si gbogbo awọn olupin mẹta. Awọn atẹle ti pari ni iṣẹju 34 ati awọn aaya 44.
INSERT INTO trips_mergetree_x3
SELECT * FROM trips_mergetree;Lẹhin isẹ ti o wa loke, Mo fun ClickHouse ni iṣẹju 15 lati lọ kuro ni ami ipele ibi ipamọ ti o pọju. Awọn ilana data pari ni 264 GB, 34 GB ati 33 GB ni atele lori ọkọọkan awọn olupin mẹta naa.
Agbeyewo iṣẹ iṣupọ ClickHouse
Ohun ti Mo rii nigbamii ni akoko ti o yara ju ti Mo ti rii ṣiṣe ibeere kọọkan lori tabili ni ọpọlọpọ igba trips_mergetree_x3.
$ clickhouse-client --host=0.0.0.0Awọn atẹle ti pari ni awọn aaya 2.449.
SELECT cab_type, count(*)
FROM trips_mergetree_x3
GROUP BY cab_type;Awọn atẹle ti pari ni awọn aaya 0.691.
SELECT passenger_count,
avg(total_amount)
FROM trips_mergetree_x3
GROUP BY passenger_count;Awọn atẹle ti pari ni awọn aaya 0.
SELECT passenger_count,
toYear(pickup_date) AS year,
count(*)
FROM trips_mergetree_x3
GROUP BY passenger_count,
year;Awọn atẹle ti pari ni awọn aaya 0.983.
SELECT passenger_count,
toYear(pickup_date) AS year,
round(trip_distance) AS distance,
count(*)
FROM trips_mergetree_x3
GROUP BY passenger_count,
year,
distance
ORDER BY year,
count(*) DESC;Fun lafiwe, Mo ran awọn ibeere kanna lori tabili orisun MergeTree ti o ngbe nikan lori olupin akọkọ.
Igbelewọn išẹ ti ọkan ClickHouse ipade
Ohun ti Mo rii nigbamii ni akoko ti o yara ju ti Mo ti rii ṣiṣe ibeere kọọkan lori tabili ni ọpọlọpọ igba trips_mergetree_x3.
Awọn atẹle ti pari ni awọn aaya 0.241.
SELECT cab_type, count(*)
FROM trips_mergetree
GROUP BY cab_type;Awọn atẹle ti pari ni awọn aaya 0.826.
SELECT passenger_count,
avg(total_amount)
FROM trips_mergetree
GROUP BY passenger_count;Awọn atẹle ti pari ni awọn aaya 1.209.
SELECT passenger_count,
toYear(pickup_date) AS year,
count(*)
FROM trips_mergetree
GROUP BY passenger_count,
year;Awọn atẹle ti pari ni awọn aaya 1.781.
SELECT passenger_count,
toYear(pickup_date) AS year,
round(trip_distance) AS distance,
count(*)
FROM trips_mergetree
GROUP BY passenger_count,
year,
distance
ORDER BY year,
count(*) DESC;Iweyinpada lori awọn esi
Eyi ni igba akọkọ ti aaye data orisun Sipiyu ọfẹ kan ni anfani lati ṣaṣeyọri aaye data orisun GPU ninu awọn idanwo mi. Ipilẹ data orisun GPU ti lọ nipasẹ awọn atunyẹwo meji lati igba naa, ṣugbọn iṣẹ ṣiṣe ti ClickHouse ti jiṣẹ lori ipade kan jẹ iyalẹnu pupọ.
Ni akoko kanna, nigbati o ba n ṣiṣẹ ibeere 1 lori ẹrọ ti a pin, awọn idiyele ti o ga julọ jẹ aṣẹ ti o ga julọ. Mo nireti pe Mo padanu nkankan ninu iwadii mi fun ifiweranṣẹ yii nitori yoo dara lati rii awọn akoko ibeere ti lọ silẹ bi MO ṣe ṣafikun awọn apa diẹ sii si iṣupọ naa. Sibẹsibẹ, o jẹ nla pe nigba ṣiṣe awọn ibeere miiran, iṣẹ ṣiṣe pọ si nipa awọn akoko 2.
Yoo jẹ ohun ti o dara lati rii ClickHouse ti dagbasoke si ni anfani lati ya ibi ipamọ ati ṣe iṣiro ki wọn le ṣe iwọn ni ominira. Atilẹyin HDFS, eyiti a ṣafikun ni ọdun to kọja, le jẹ igbesẹ si eyi. Ni awọn ofin ti iširo, ti ibeere kan ba le ni isare nipa fifi awọn apa diẹ sii si iṣupọ, lẹhinna ọjọ iwaju sọfitiwia yii jẹ imọlẹ pupọ.
O ṣeun fun gbigba akoko lati ka ifiweranṣẹ yii. Mo funni ni ijumọsọrọ, faaji, ati awọn iṣẹ idagbasoke adaṣe si awọn alabara ni Ariwa America ati Yuroopu. Ti o ba fẹ lati jiroro bi awọn imọran mi ṣe le ṣe iranlọwọ fun iṣowo rẹ, jọwọ kan si mi nipasẹ .
orisun: www.habr.com